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Supporting Ukrainian News with AI

OpenAI, WAN-IFRA, and AIRPPU have launched a new initiative to support Ukrainian news publishers in adopting artificial intelligence. The Newsroom AI Masterclass Series and Newsroom AI Catalyst aim to help news organisations harness AI to strengthen their sustainability, efficiency, and resilience. The programme combines two complementary components: Newsroom AI, which supports AI-driven…

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Key points

  • OpenAI, WAN-IFRA, and AIRPPU launch initiative
  • Supports Ukrainian news publishers in AI adoption
  • Combines Newsroom AI and Business Transformation components
Full story from OpenAI primary source Open source ↗

Supporting independent journalism in Ukraine

OpenAI · 7 September 2026

The following was issued as a joint press release on Monday 7th September 2026 from WAN-IFRA, AIRPPU, and OpenAI.

The Newsroom AI Masterclass Series and Newsroom AI Catalyst support Ukraine’s independent news sector with a focus on AI adoption, innovation, and resilience.

OpenAI, WAN-IFRA, and the Association of Independent Regional Press Publishers of Ukraine (AIRPPU) have announced a new initiative to support and strengthen Ukrainian news publishers by building practical artificial intelligence capabilities and accelerating innovation across their organisations. During a time of continued conflict and unrest, the new initiative—developed by AIRPPU in partnership with WAN-IFRA and OpenAI—aims to help news organisations harness the opportunities of artificial intelligence to strengthen the sustainability, efficiency, and resilience of independent journalism.

The programme combines two complementary components:

  • Newsroom AI , supporting news organisations selected by AIRPPU in developing and implementing AI-driven newsroom projects, and;
  • Business Transformation , supporting AI-driven commercial and operational transformation projects.

The Newsroom AI Masterclass Series will build on prior successful initiatives of WAN-IFRA and OpenAI and bring together international experts and practitioners to share practical knowledge, case studies, and implementation strategies. The topics span a broad range of critical news organisation priorities, including editorial workflows, audience engagement, product development, revenue generation, organisational change, and responsible AI adoption.

Building on this foundation, the Newsroom AI Catalyst will provide deeper, hands-on support to ten participating Ukrainian news organisations as they identify high-impact use cases, develop implementation roadmaps, and pilot AI-enabled solutions tailored to their specific needs.

All organisations participating in the programme will also receive credits to OpenAI’s API to facilitate the development of bespoke newsroom solutions.

The programme builds on WAN-IFRA’s extensive global work supporting AI adoption in news organisations—including leadership programmes, industry research, peer-learning communities, and practical implementation initiatives—and OpenAI’s continued partnership with news organisations around the world to help support their vital missions.

The Newsroom AI Masterclass Series began on August 5, 2026, with the Newsroom AI Catalyst set to launch on September 17, 2026. Further details regarding participation and full programme dates can be found here(opens in a new window).

WAN-IFRA, the World Association of News Publishers, unites media globally to strengthen the business of trusted journalism and defend press freedom.

The Association of Independent Regional Press Publishers of Ukraine (AIRPPU) is the largest network of independent regional and local news publishers in Ukraine. The association supports media sustainability, professional journalism, and press freedom through capacity-building programmes, emergency support, innovation initiatives, and international partnerships, working with independent news organisations across the country.

This text was published by OpenAI . It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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